Open AccessApplicable STAP for moving FOD detection
Author(s) -
Yang Xiaoqi,
Huo Kai,
Zhang Xinyu,
Jiang Weidong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0658
Subject(s) - clutter , computer science , runway , visibility , computer vision , azimuth , moving target indication , radar , filter (signal processing) , space debris , object detection , space time adaptive processing , variance (accounting) , doppler effect , artificial intelligence , remote sensing , acoustics , optics , debris , pulse doppler radar , physics , telecommunications , geology , pattern recognition (psychology) , radar imaging , geography , meteorology , business , accounting , archaeology , astronomy
Serious security risks and economic losses have increased rapidly under the threat of foreign object debris. Most detection methods employing optical devices are limited in severe weather for low visibility. This study proposes an applicable approach for moving foreign object debris on the basis of space‐time adaptive processing. The geometrical model of an airport is introduced whereby the runway and lawn are divided into clutter cells. After calculating the complex amplitude of clutter in each cell, the authors employ the minimum variance power spectrum and degrees of freedom to describe the ground clutter characteristics. Then the space‐time filter is designed under the linearly constrained minimum variance criterion to suppress the clutter and detects the moving target. Simulations show that the errors in azimuth and Doppler are both less than −15 dB when SCNR = −20 dB.